grilling
Use when an instruction or skill asks you to interview, grill, or clarify with the user before generating — the structured-question mechanics for ask_question…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-14 00:15
Agents & models
26,318 results
organization
The organization's settled decisions. Consult before asking the user any policy question, and before naming a provider or technology at design time.
jev-setup
Set up Jev for an agent, choose OpenRouter or the official TypeSafe API, or guide an explicitly approved current-agent/DeepSeek simulation when no Jev key is…
skill0
Root index of x-cmd skill0 sub-skills. Defines the OKR-style agent workflow (goal → rule-verified results → execute), skill discovery, and agent tooling…
calling-llms
Use when sending chat completions through liter-llm and routing to a specific provider via the `provider/model` prefix. Covers the chat call shape, provider…
chunking-for-llms
Use when the user wants to split source code into chunks for an LLM context window without breaking syntax mid-construct. Covers `ts-pack process…
liter-llm
Universal LLM API client for 143 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python,…
running-the-proxy
Use when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML…
using-the-mcp-server
Use when converting HTML to Markdown or extracting metadata and tables through the html-to-markdown MCP server's tools, rather than shelling out to the CLI.…
chunking-for-llms
Use when the user wants to split source code into chunks for an LLM context window without breaking syntax mid-construct. Covers `ts-pack process…
handoff
Compact the current conversation into a handoff document so a fresh agent can pick up the work.
wayfinder
Use when an effort is too big for one agent session and the route is foggy — "huge job, don't know where to start", a migration or re-architecture spanning…
shijian-lun
On Practice — the unity of knowing and doing. Invoke when the agent needs to validate understanding through action, iterate between planning and execution, or translate theoretical understanding into concrete operations. Epistemology of Practice — unity of knowing and doing. Trigger when the agent must validate…
brainstorming
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and…
chrome-mcp-remote
Use Chrome DevTools MCP via a manually launched Chrome (remote debugging). Use when Chrome MCP is unstable after macOS upgrades or when you need a reliable,…
autogpt-agents
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or…
autoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization…
awq-quantization
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited…
axolotl
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
blip-2-vision-language
Vision-language pre-training framework bridging frozen image encoders and LLMs. Use when you need image captioning, visual question answering, image-text…
clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M…
constitutional-ai
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from…
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you…
deepspeed
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention